TET2 LESIONS ENHANCE THE AGGRESSIVENESS OF CEBPA-MUTANT ACUTE MYELOID LEUKEMIA BY REBALANCING GATA2 EXPRESSION

TET2 lesions enhance the aggressiveness of CEBPA-mutant acute myeloid leukemia by rebalancing GATA2 expression

Abstract The myeloid transcription factor CEBPA is recurrently biallelically mutated (i.e., double mutated; CEBPA DM) in acute myeloid leukemia (AML) with a combination of hypermorphic N-terminal mutations (CEBPA NT), promoting expression of the leukemia-associated p30 isoform, and amorphic C-terminal mutations.The most frequently co-mutated genes

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Public Opinion Early Warning Agent Model: A Deep Learning Cascade Virality Prediction Model Based on Multi-Feature Fusion

With the rapid popularity of agent technology, a public opinion early warning agent has attracted wide attention.Furthermore, a deep learning model can make the agent more automatic and efficient.Therefore, for the agency of a public opinion early warning task, the deep learning model is very suitable for completing tasks such as popularity predict

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Reconceptualizing Integrated Knowledge Translation goals: a case study on basic and clinical science investigating the causes and consequences of food allergy

Abstract Background Integrated Knowledge Translation (IKT) and other forms of research co-production are increasingly recognized as valuable approaches to knowledge creation as a way to better facilitate the implementation of scientific findings.However, the nature of some scientific work can preclude direct knowledge to action as a likely outcome.

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